<!DOCTYPE article
PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD with MathML3 v1.2 20190208//EN" "JATS-archivearticle1-mathml3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" article-type="research-article"><?properties open_access?><front><journal-meta><journal-id journal-id-type="nlm-ta">Emerg Infect Dis</journal-id><journal-id journal-id-type="iso-abbrev">Emerging Infect. Dis</journal-id><journal-id journal-id-type="publisher-id">EID</journal-id><journal-title-group><journal-title>Emerging Infectious Diseases</journal-title></journal-title-group><issn pub-type="ppub">1080-6040</issn><issn pub-type="epub">1080-6059</issn><publisher><publisher-name>Centers for Disease Control and Prevention</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">32818392</article-id><article-id pub-id-type="pmc">7454113</article-id><article-id pub-id-type="publisher-id">19-0524</article-id><article-id pub-id-type="doi">10.3201/eid2609.190524</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research</subject></subj-group><subj-group subj-group-type="TOC-title"><subject>Costs Associated with Nontuberculous Mycobacteria Infection, Ontario, Canada, 2001&#x02013;2012</subject></subj-group></article-categories><title-group><article-title>Costs Associated with Nontuberculous Mycobacteria Infection, Ontario, Canada, 2001&#x02013;2012</article-title><alt-title alt-title-type="running-head">Costs Associated with Nontuberculous Mycobacteria</alt-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name><surname>Ramsay</surname><given-names>Lauren C.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Shing</surname><given-names>Emily</given-names></name></contrib><contrib contrib-type="author"><name><surname>Wang</surname><given-names>John</given-names></name></contrib><contrib contrib-type="author"><name><surname>Marras</surname><given-names>Theodore K.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Kwong</surname><given-names>Jeffrey C.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Brode</surname><given-names>Sarah K.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Jamieson</surname><given-names>Frances B.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Sander</surname><given-names>Beate</given-names></name></contrib><aff id="aff1">University Health Network, Toronto, Ontario, Canada (L.C. Ramsay, T.K. Marras, J.C. Kwong, S.K. Brode, B. Sander); </aff><aff id="aff2">University of Toronto, Toronto (L.C. Ramsay, T.K. Marras, J.C. Kwong, S.K. Brode, F.B. Jamieson, B. Sander); </aff><aff id="aff3">Public Health Ontario, Toronto (E. Shing, J. Wang, J.C. Kwong, F.B. Jamieson, B. Sander); </aff><aff id="aff4">ICES, Toronto (J. Wang, J.C. Kwong, S.K. Brode, B. Sander); </aff><aff id="aff5">West Park Healthcare Centre, Toronto (S.K. Brode)</aff></contrib-group><author-notes><corresp id="cor1">Address for correspondence: Lauren Ramsay, University Health Network, Toronto General Hospital, Eaton Building, 10th Fl, Rm 248, 200 Elizabeth St, Toronto, ON M5G 2C4, Canada; email: <email xlink:href="lauren.ramsay@theta.utoronto.ca">lauren.ramsay@theta.utoronto.ca</email></corresp></author-notes><pub-date pub-type="ppub"><month>9</month><year>2020</year></pub-date><volume>26</volume><issue>9</issue><fpage>2097</fpage><lpage>2107</lpage><abstract><p>To determine incidence-based healthcare costs attributable to nontuberculous mycobacterial (NTM) pulmonary disease (PD) and NTM pulmonary isolation (PI), from the healthcare payer perspective, we conducted a population-based matched cohort study in Ontario, Canada. We established cohorts of patients with incident NTM-PD and NTM-PI during 2001&#x02013;2012 by using individually linked laboratory data and health administrative data, matched to unexposed persons from the general population. To estimate attributable costs for acute and long-term illness, we used a phase-of-care approach. Costs were stratified by age, sex, and healthcare resource, and reported in 2018 Canadian dollars (CAD) and US dollars (USD), standardized to 10 days. Costs were highest during the before-death phase (NTM-PD CAD $1,352 [USD $1,044]; NTM-PI CAD $731 [USD $565]). The cumulative mean attributable 1-year costs were CAD $14,953 (USD $11,541) for NTM-PD and CAD $8,729 (USD $6,737) for NTM-PI. Costs for patients with NTM-PD and NTM-PI were higher than those for unexposed persons. </p></abstract><kwd-group kwd-group-type="author"><title>Keywords: </title><kwd>tuberculosis and other mycobacteria</kwd><kwd>nontuberculous mycobacteria</kwd><kwd>cost</kwd><kwd>pulmonary disease</kwd><kwd>NTM pulmonary disease</kwd><kwd>NTM pulmonary isolation</kwd><kwd>Ontario</kwd><kwd>Canada</kwd><kwd>bacteria</kwd></kwd-group></article-meta></front><body><p>Pulmonary disease (PD) caused by nontuberculous mycobacteria (NTM) is an emerging public health threat (<xref rid="R1" ref-type="bibr"><italic>1</italic></xref>). As identification of persons with NTM-PD increases (<xref rid="R2" ref-type="bibr"><italic>2</italic></xref>,<xref rid="R3" ref-type="bibr"><italic>3</italic></xref>), information about the economic burden of NTM-PD can help decision makers set funding priorities. NTM-PD accounts for most NTM infections and poses particular challenges (<xref rid="R4" ref-type="bibr"><italic>4</italic></xref>). One challenge is that NTM-PD often occurs in patients with preexisting conditions such as cystic fibrosis, lung cancer, and chronic obstructive pulmonary disease (<xref rid="R5" ref-type="bibr"><italic>5</italic></xref>,<xref rid="R6" ref-type="bibr"><italic>6</italic></xref>); these conditions affect the spectrum and severity of signs and symptoms (<xref rid="R7" ref-type="bibr"><italic>7</italic></xref>). Treatment of NTM-PD is complex, typically involving use of <underline>&#x0003e;</underline>3 antimicrobial agents for <underline>&#x0003e;</underline>18 months (<xref rid="R5" ref-type="bibr"><italic>5</italic></xref>). Eradication of the organism is challenging; a recent meta-analysis demonstrated a success rate of 60% for eradication of <italic>Mycobacterium avium</italic> complex PD (MAC-PD) (<xref rid="R8" ref-type="bibr"><italic>8</italic></xref>). Furthermore, recurrence after completed treatment for MAC-PD is extremely common; recurrence rates are 30% at 14 months (<xref rid="R9" ref-type="bibr"><italic>9</italic></xref>) and &#x02248;50% at 4 years (<xref rid="R10" ref-type="bibr"><italic>10</italic></xref>). During 1998&#x02013;2010, the prevalence of NTM-PD in Ontario, Canada, increased; the 5-year prevalence increased from 29.3 (1998&#x02013;2002) to 41.3 (2003&#x02013;2007) cases/100,000 persons (<xref rid="R2" ref-type="bibr"><italic>2</italic></xref>). </p><p>The costs of NTM-PD in Canada are not well established; to the best of our knowledge, no studies have used population-based data to estimate associated costs. One study conducted in a tertiary care center in Toronto, Ontario, estimated the median monthly cost per NTM-PD patient to be approximately CAD $500; most of the costs were associated with medications (<xref rid="R11" ref-type="bibr"><italic>11</italic></xref>). Although informative, that study considered only 1 clinic and did not account for potential long-term costs. Our objective with this study was to determine the costs associated with NTM-PD and with pulmonary isolation of NTM from patients without disease (NTM-PI), from the healthcare payer perspective, in Ontario, Canada, during 2001&#x02013;2012. </p><sec sec-type="methods"><title>Methods</title><sec><title>Study Design and Participants</title><p>We conducted a population-based matched cohort study to examine attributable costs of NTM-PD and NTM-PI from the healthcare payer perspective (Ontario Ministry of Health and Long-Term Care, Toronto, ON, Canada). Costs were identified by using provincial health administration data, including physician services, emergency department data, hospitalizations, prescription medications (for those <underline>&#x0003e;</underline>65 years of age), population data (e.g., census information and death records), and special collections (e.g., specific disease registries) (<xref rid="R12" ref-type="bibr"><italic>12</italic></xref>). These data can be individually linked by using unique encoded identifiers at ICES (formerly the Institute for Clinical Evaluative Sciences), an independent, nonprofit research institute in Ontario, whose legal status under Ontario health information privacy law allows it to collect and analyze healthcare and demographic data without consent for health system evaluation and improvement (<xref rid="R12" ref-type="bibr"><italic>12</italic></xref>). Descriptions of key ICES databases are described in more detail elsewhere (<xref rid="R13" ref-type="bibr"><italic>13</italic></xref>&#x02013;<xref rid="R15" ref-type="bibr"><italic>15</italic></xref>). Our study was approved by the ethics review boards of Public Health Ontario and the University Health Network. All data analyses were conducted by using SAS version 9.4 (SAS Institute, <ext-link ext-link-type="uri" xlink:href="https://www.sas.com">https://www.sas.com</ext-link>).</p><p>We identified incident cases of NTM by using laboratory data from Public Health Ontario (<ext-link ext-link-type="uri" xlink:href="https://www.publichealthontario.ca">https://www.publichealthontario.ca</ext-link>) for 2001&#x02013;2012. NTM-PD was defined by the microbiological criteria of the American Thoracic Society/Infectious Diseases Society of America (ATS/IDSA) diagnostic guidelines: NTM isolation from <underline>&#x0003e;</underline>2 sputum samples (isolation of the same species within 2 years) or <underline>&#x0003e;</underline>1 positive sample from bronchoalveolar lavage or pleural fluid (<xref rid="R5" ref-type="bibr"><italic>5</italic></xref>). NTM-PI was defined by NTM isolation from only 1 sputum sample. Persons were excluded if age, sex, or birth date data were not available; if they did not live in Ontario on the index date; if they were &#x0003e;100 years of age on the index date (i.e., the beginning of healthcare resource utilization related to NTM); if laboratory-confirmed <italic>M. gordonae</italic> had been isolated from them; or if laboratory-confirmed NTM had been isolated from them in the 3 years before the accrual period (January 1, 1998&#x02013;December 31, 2000).</p><p>Because dates of disease onset were unknown, we adjusted index dates by using joinpoint (<ext-link ext-link-type="uri" xlink:href="https://surveillance.cancer.gov/joinpoint)">https://surveillance.cancer.gov/joinpoint)</ext-link> analysis on the cost curve (where a change in costs indicates change in healthcare use) and clinical judgement to estimate an onset of 30 days before laboratory confirmation of NTM. In the 30 days before laboratory confirmation, clinical judgement reconciled the increasing costs with the expectation of physician visits, possible hospitalizations, and a large number of clinical investigations.</p><p>Matched unexposed persons (who never had NTM-PD or NTM-PI) were drawn from the general population in the Registered Persons Database (<ext-link ext-link-type="uri" xlink:href="https://datadictionary.ices.on.ca/Applications/DataDictionary/Library.aspx?Library=RPDB">https://datadictionary.ices.on.ca/Applications/DataDictionary/Library.aspx?Library=RPDB</ext-link>). We matched unexposed and exposed persons at a ratio of 3:1 by using a combination of hard-matching and propensity score matching without replacement (<xref rid="T1" ref-type="table">Tables 1</xref>, <xref rid="T2" ref-type="table">2</xref>). We used a logistic regression model that regressed exposure status to calculate the propensity score based on the following covariates: rurality (using the Rurality Index of Ontario [<xref rid="R16" ref-type="bibr"><italic>16</italic></xref>]), neighborhood income quintile, and underlying conditions 2 years before index date (using the Johns Hopkins Adjusted Clinical Groups System [<xref rid="R17" ref-type="bibr"><italic>17</italic></xref>]). Persons were hard-matched by age, sex, and index date as well as within 0.2 SDs of the logit of the propensity score (<xref rid="R18" ref-type="bibr"><italic>18</italic></xref>). To examine the effect of NTM-PD and NTM-PI on costs before death, we rematched each exposed person who died during the observation period (2001&#x02013;2012) with 3 unexposed persons from the general population who also died during the same period, by using covariates assessed 180 days before death (<xref rid="T1" ref-type="table">Table 1</xref>).</p><table-wrap id="T1" position="float"><label>Table 1</label><caption><title>Variables used for matching persons exposed to nontuberculous mycobacteria to unexposed persons in study of costs associated with nontuberculous mycobacteria infection, Ontario, Canada, 2001&#x02013;2012* </title></caption><table frame="hsides" rules="groups"><col width="241" span="1"/><col width="120" span="1"/><col width="120" span="1"/><thead><tr><th valign="bottom" align="left" scope="col" rowspan="1" colspan="1">Variable</th><th valign="bottom" align="center" scope="col" rowspan="1" colspan="1">Index date</th><th valign="bottom" align="center" scope="col" rowspan="1" colspan="1">Death date</th></tr></thead><tbody><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">Baseline covariates&#x02013;hard-matching</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Index date</td><td valign="top" align="center" rowspan="1" colspan="1">&#x000b1; 30 d</td><td valign="top" align="center" rowspan="1" colspan="1">NA</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Death date</td><td valign="top" align="center" rowspan="1" colspan="1">NA</td><td valign="top" align="center" rowspan="1" colspan="1">&#x000b1; 90 d</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Age</td><td valign="top" align="center" rowspan="1" colspan="1">&#x000b1; 1 y</td><td valign="top" align="center" rowspan="1" colspan="1">&#x000b1; 5 y</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Sex<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">Exact<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">Exact<hr/></td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">Propensity score variable</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Rurality Index of Ontario&#x02020;</td><td valign="top" align="center" rowspan="1" colspan="1">At index date</td><td valign="top" align="center" rowspan="1" colspan="1">180 d before death</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Neighborhood income quintile</td><td valign="top" align="center" rowspan="1" colspan="1">At index date</td><td valign="top" align="center" rowspan="1" colspan="1">180 d before death</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Collapsed aggregated diagnosis groups&#x02021; </td><td valign="top" align="center" rowspan="1" colspan="1">2 y before index date</td><td valign="top" align="left" rowspan="1" colspan="1"/></tr></tbody></table><table-wrap-foot><p>*Persons were hard-matched with regard to age, sex, and index date as well as within 0.2 SDs of the logit of the propensity score. To examine the effect of nontuberculous mycobacteria on costs before death, exposed persons who died during the observation period were rematched with 3 unexposed persons from the general population who also died during the same period, by use of covariates assessed 180 days before. NA, not applicable.&#x02028;&#x02020;The Rurality Index of Ontario is a weighted function of community population/density, travel time to nearest basic referral center, and travel time to nearest advanced referral center (<ext-link ext-link-type="uri" xlink:href="https://content.oma.org//wp-content/uploads/2008rio-fulltechnicalpaper.pdf">https://content.oma.org//wp-content/uploads/2008rio-fulltechnicalpaper.pdf</ext-link>).&#x02028;&#x02021;The Johns Hopkins ACG system (<ext-link ext-link-type="uri" xlink:href="https://www.hopkinsacg.org">https://www.hopkinsacg.org</ext-link>) groups comorbid diagnoses into clinical groups considering illness recurrence, severity, and resource use intensity.</p></table-wrap-foot></table-wrap><table-wrap id="T2" position="float"><label>Table 2</label><caption><title>Baseline characteristics of exposed and unexposed persons after matching for NTM-PD and NTM-PI cohorts in study of costs associated with nontuberculous mycobacteria infection, Ontario, Canada, 2001&#x02013;2012* </title></caption><table frame="hsides" rules="groups"><col width="145" span="1"/><col width="110" span="1"/><col width="125" span="1"/><col width="100" span="1"/><thead><tr><th valign="bottom" align="left" scope="col" rowspan="1" colspan="1">Characteristic</th><th valign="bottom" align="center" scope="col" rowspan="1" colspan="1">Exposed persons</th><th valign="bottom" align="center" scope="col" rowspan="1" colspan="1">Unexposed persons</th><th valign="bottom" align="center" scope="col" rowspan="1" colspan="1">Standardized difference</th></tr></thead><tbody><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">NTM-PD</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> No. persons</td><td valign="top" align="center" rowspan="1" colspan="1">7,243</td><td valign="top" align="center" rowspan="1" colspan="1">21,729</td><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Mean age, y</td><td valign="top" align="center" rowspan="1" colspan="1">66.1</td><td valign="top" align="center" rowspan="1" colspan="1">66.1</td><td valign="top" align="center" rowspan="1" colspan="1">0</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Mean propensity score</td><td valign="top" align="center" rowspan="1" colspan="1">6.6</td><td valign="top" align="center" rowspan="1" colspan="1">6.6</td><td valign="top" align="center" rowspan="1" colspan="1">0.01</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Mean CADG score</td><td valign="top" align="center" rowspan="1" colspan="1">5.5</td><td valign="top" align="center" rowspan="1" colspan="1">5.5</td><td valign="top" align="center" rowspan="1" colspan="1">0.02</td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1"> Sex </td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> M</td><td valign="top" align="center" rowspan="1" colspan="1">49.3</td><td valign="top" align="center" rowspan="1" colspan="1">49.3</td><td valign="top" align="center" rowspan="1" colspan="1">0</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> F</td><td valign="top" align="center" rowspan="1" colspan="1">50.7</td><td valign="top" align="center" rowspan="1" colspan="1">50.7</td><td valign="top" align="center" rowspan="1" colspan="1">0</td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1"> Income quintile</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> 1</td><td valign="top" align="center" rowspan="1" colspan="1">26.8</td><td valign="top" align="center" rowspan="1" colspan="1">24.2</td><td valign="top" align="center" rowspan="1" colspan="1">0.06</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> 2</td><td valign="top" align="center" rowspan="1" colspan="1">21.3</td><td valign="top" align="center" rowspan="1" colspan="1">21.0</td><td valign="top" align="center" rowspan="1" colspan="1">0.01</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> 3</td><td valign="top" align="center" rowspan="1" colspan="1">18.1</td><td valign="top" align="center" rowspan="1" colspan="1">17.7</td><td valign="top" align="center" rowspan="1" colspan="1">0.01</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> 4</td><td valign="top" align="center" rowspan="1" colspan="1">16.7</td><td valign="top" align="center" rowspan="1" colspan="1">18.0</td><td valign="top" align="center" rowspan="1" colspan="1">0.03</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> 5</td><td valign="top" align="center" rowspan="1" colspan="1">17.2</td><td valign="top" align="center" rowspan="1" colspan="1">19.1</td><td valign="top" align="center" rowspan="1" colspan="1">0.05</td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1"> Rurality</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Not rural</td><td valign="top" align="center" rowspan="1" colspan="1">96.2</td><td valign="top" align="center" rowspan="1" colspan="1">94.6</td><td valign="top" align="center" rowspan="1" colspan="1">0.08</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Rural<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">3.8<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">5.4<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">0.08<hr/></td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">NTM-PI</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> No. persons</td><td valign="top" align="center" rowspan="1" colspan="1">8,393</td><td valign="top" align="center" rowspan="1" colspan="1">25,179</td><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Mean age, y</td><td valign="top" align="center" rowspan="1" colspan="1">61.0</td><td valign="top" align="center" rowspan="1" colspan="1">61.0</td><td valign="top" align="center" rowspan="1" colspan="1">0</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Mean propensity score</td><td valign="top" align="center" rowspan="1" colspan="1">6.7</td><td valign="top" align="center" rowspan="1" colspan="1">6.7</td><td valign="top" align="center" rowspan="1" colspan="1">0.01</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Mean CADG score</td><td valign="top" align="center" rowspan="1" colspan="1">5.1</td><td valign="top" align="center" rowspan="1" colspan="1">5.1</td><td valign="top" align="center" rowspan="1" colspan="1">0.02</td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1"> Sex </td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> M</td><td valign="top" align="center" rowspan="1" colspan="1">51.1</td><td valign="top" align="center" rowspan="1" colspan="1">51.1</td><td valign="top" align="center" rowspan="1" colspan="1">0</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> F</td><td valign="top" align="center" rowspan="1" colspan="1">48.9</td><td valign="top" align="center" rowspan="1" colspan="1">48.9</td><td valign="top" align="center" rowspan="1" colspan="1">0</td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1"> Income quintile</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> 1</td><td valign="top" align="center" rowspan="1" colspan="1">31.0</td><td valign="top" align="center" rowspan="1" colspan="1">28.9</td><td valign="top" align="center" rowspan="1" colspan="1">0.05</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> 2</td><td valign="top" align="center" rowspan="1" colspan="1">23.3</td><td valign="top" align="center" rowspan="1" colspan="1">22.1</td><td valign="top" align="center" rowspan="1" colspan="1">0.03</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> 3</td><td valign="top" align="center" rowspan="1" colspan="1">16.9</td><td valign="top" align="center" rowspan="1" colspan="1">17.2</td><td valign="top" align="center" rowspan="1" colspan="1">0.01</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> 4</td><td valign="top" align="center" rowspan="1" colspan="1">15.1</td><td valign="top" align="center" rowspan="1" colspan="1">16.3</td><td valign="top" align="center" rowspan="1" colspan="1">0.03</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> 5</td><td valign="top" align="center" rowspan="1" colspan="1">13.8</td><td valign="top" align="center" rowspan="1" colspan="1">15.5</td><td valign="top" align="center" rowspan="1" colspan="1">0.05</td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1"> Rurality</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Not rural</td><td valign="top" align="center" rowspan="1" colspan="1">97.2</td><td valign="top" align="center" rowspan="1" colspan="1">95.8</td><td valign="top" align="center" rowspan="1" colspan="1">0.07</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Rural</td><td valign="top" align="center" rowspan="1" colspan="1">2.9</td><td valign="top" align="center" rowspan="1" colspan="1">4.2</td><td valign="top" align="center" rowspan="1" colspan="1">0.07</td></tr></tbody></table><table-wrap-foot><p>*Data are percentages unless otherwise indicated. CADG, collapsed aggregated diagnosis groups; NTM-PD, nontuberculous mycobacteria pulmonary disease; NTM-PI, nontuberculous mycobacteria pulmonary isolation.</p></table-wrap-foot></table-wrap></sec><sec><title>Outcomes</title><p>We evaluated deaths (10-day, 30-day, 90-day, 1-year), acute hospital admissions (within 5 and 30 days of index date), and hospital lengths of stay. We calculated costs by using person-level costing methods established by ICES (<xref rid="R14" ref-type="bibr"><italic>14</italic></xref>). This method uses administrative data to calculate long-term costs of incident cases from an index date to a defined point in time (death or the end of an observation window). In this method, costs are inflated by using the healthcare-specific Consumer Price Index reported by Statistics Canada (<xref rid="R14" ref-type="bibr"><italic>14</italic></xref>). The publicly funded healthcare service categories included were acute inpatient hospitalizations, emergency visits, same-day surgeries and other ambulatory treatments, inpatient rehabilitation, complex continuing care, long-term care, inpatient mental health, physician services, home care, eligible prescription medications, and devices (<xref rid="R14" ref-type="bibr"><italic>14</italic></xref>).</p></sec><sec><title>Cost Analyses</title><p>We calculated all costs in 2015 Canadian dollars (CAD) and present results in 2018 CAD and US dollars (USD). Costs were inflated from 2015 CAD by using the healthcare-specific Consumer Price Index (<xref rid="R19" ref-type="bibr"><italic>19</italic></xref>) and converted to 2018 USD (1 CAD =&#x000a0;0.77 USD) (<xref rid="R20" ref-type="bibr"><italic>20</italic></xref>). Using phase-of-care methods, we estimated NTM-PD&#x02013; and NTM-PI&#x02013;attributable healthcare costs for acute and long-term illness. We defined 3 phases (acute, continuing, and subsequent) by using joinpoint analysis (<xref rid="R21" ref-type="bibr"><italic>21</italic></xref>) and clinical judgment. Clinical judgment supported the results of joinpoint analysis with consideration of typical patterns of physician visits, clinical investigations, treatment initiation, and illness duration. We divided the acute care (phase 1) into 2 parts: initial and subsequent. The remaining phases were continuing care (phase 2) and before death (phase 3). Phase 1 was estimated to last 150 days from the index date; the first 60 days were defined as initial care and the remaining 90 days as subsequent care. Phase 2 started 70 days before death. Observation time was divided into phases in order of final, initial, and subsequent care; the remaining observation time was allocated to continuing care. For example, if a person was observed for 400 days, the last 70 days were assigned to the before-death phase and the first 150 days to initial (60 days) and subsequent (90 days) care, cumulatively representing phase 1; the remaining 180 days were allocated to the continuing care phase.</p><p>We calculated phase-specific attributable costs as the mean difference between matched pairs, and we used bootstrapping to calculate the 95% CI of the mean difference (<xref rid="R22" ref-type="bibr"><italic>22</italic></xref>). Costs were measured as 10-day intervals throughout the observation period. We also considered attributable costs by persons&#x02019; age category, sex, and healthcare spending category. We determined attributable mean 1-year costs by applying 10-day survival probabilities from the first year after diagnosis to the mean 10-day phase-specific costs as we described.</p></sec><sec><title>Sensitivity Analysis</title><p>We conducted a sensitivity analysis by removing persons identified in the Ontario Cancer Registry (<ext-link ext-link-type="uri" xlink:href="https://datadictionary.ices.on.ca/Applications/DataDictionary/Library.aspx?Library=OCR">https://datadictionary.ices.on.ca/Applications/DataDictionary/Library.aspx?Library=OCR</ext-link>) and the Canadian Cystic Fibrosis Data Registry (<ext-link ext-link-type="uri" xlink:href="https://datadictionary.ices.on.ca/Applications/DataDictionary/Library.aspx?Library=CFDR">https://datadictionary.ices.on.ca/Applications/DataDictionary/Library.aspx?Library=CFDR</ext-link>) as having any history of lung cancer or cystic fibrosis because of possible differences in expected complications and costs associated with these conditions. We performed cost analysis for the matched cohort without these persons and by using the same methods we described.</p></sec></sec><sec sec-type="results"><title>Results</title><sec><title>Study Cohort</title><p>During 2001&#x02013;2012, a total of 7,384 NTM-PD cases and 8,580 NTM-PI cases were identified and linked to administrative data (<xref rid="T3" ref-type="table">Table 3</xref>). The mean (&#x000b1; SD) age of NTM-PD patients was 66.1 (&#x000b1; 15.6) years and of NTM-PI patients was 61.1 (&#x000b1; 18.3) years. Of the NTM-PD patients, 3,732 (50.5%) were female, 316 (4.3%) lived in rural areas, and the mean collapsed aggregated diagnosis groups score was 5.5 (&#x000b1; 2.1). Of the NTM-PI patients, 4,158 (48.5%) were female, 285 (3.3%) lived in rural areas, and the mean collapsed aggregated diagnosis groups score was 5.1 (&#x000b1; 2.2).</p><table-wrap id="T3" position="float"><label>Table 3</label><caption><title>Baseline characteristics of patients with confirmed nontuberculous mycobacterial pulmonary disease and pulmonary isolation of nontuberculous mycobacteria, Ontario, Canada, 2001&#x02013;2012*</title></caption><table frame="hsides" rules="groups"><col width="181" span="1"/><col width="150" span="1"/><col width="150" span="1"/><thead><tr><th valign="bottom" align="left" scope="col" rowspan="1" colspan="1">Characteristic</th><th valign="bottom" align="center" scope="col" rowspan="1" colspan="1">NTM-PD</th><th valign="bottom" align="center" scope="col" rowspan="1" colspan="1">NTM-PI</th></tr></thead><tbody><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Infected persons<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">7,384 (100)<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">8,580 (100)<hr/></td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">Age category at index, y</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> &#x0003c;5 </td><td valign="top" align="center" rowspan="1" colspan="1">&#x0003c;6 (&#x0003c;0.1)</td><td valign="top" align="center" rowspan="1" colspan="1">&#x0003c;6 (&#x0003c;0.1)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> 5&#x02013;24 </td><td valign="top" align="center" rowspan="1" colspan="1">&#x0003c;123 (&#x0003c;1.7)</td><td valign="top" align="center" rowspan="1" colspan="1">&#x0003c;296 (&#x0003c;3.4)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> 25&#x02013;44 </td><td valign="top" align="center" rowspan="1" colspan="1">633 (8.6)</td><td valign="top" align="center" rowspan="1" colspan="1">1,466 (17.1)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> 45&#x02013;54 </td><td valign="top" align="center" rowspan="1" colspan="1">799 (10.8)</td><td valign="top" align="center" rowspan="1" colspan="1">1,201 (14.0)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> 55&#x02013;64</td><td valign="top" align="center" rowspan="1" colspan="1">1,272 (17.2)</td><td valign="top" align="center" rowspan="1" colspan="1">1,398 (16.3)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> 65&#x02013;74 </td><td valign="top" align="center" rowspan="1" colspan="1">1,953 (26.5)</td><td valign="top" align="center" rowspan="1" colspan="1">1,834 (21.4)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> 75&#x02013;84 </td><td valign="top" align="center" rowspan="1" colspan="1">2,078 (28.1)</td><td valign="top" align="center" rowspan="1" colspan="1">1,775 (20.7)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">
<underline>&#x0003e;</underline>85 <hr/></td><td valign="top" align="center" rowspan="1" colspan="1">526 (7.1)<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">610 (7.1)<hr/></td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">Sex</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> F</td><td valign="top" align="center" rowspan="1" colspan="1">3,732 (50.5)</td><td valign="top" align="center" rowspan="1" colspan="1">4,158 (48.5)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> M<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">3,652 (49.5)<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">4,422 (51.5)<hr/></td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">Rural residence</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> No</td><td valign="top" align="center" rowspan="1" colspan="1">7,065 (95.7)</td><td valign="top" align="center" rowspan="1" colspan="1">8,289 (96.7)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Yes<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">316 (4.3)<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">285 (3.3)<hr/></td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">CADG distribution, score</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Mean &#x000b1; SD</td><td valign="top" align="center" rowspan="1" colspan="1">5.48 &#x000b1; 2.1</td><td valign="top" align="center" rowspan="1" colspan="1">5.08 &#x000b1; 2.2</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Median<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">6<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">5<hr/></td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">Income quintile</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> 1 (lowest)</td><td valign="top" align="center" rowspan="1" colspan="1">1,985 (27.0)</td><td valign="top" align="center" rowspan="1" colspan="1">2,671 (31.3)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> 2</td><td valign="top" align="center" rowspan="1" colspan="1">1,562 (21.2)</td><td valign="top" align="center" rowspan="1" colspan="1">1,978 (23.2)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> 3</td><td valign="top" align="center" rowspan="1" colspan="1">1,325 (18.0)</td><td valign="top" align="center" rowspan="1" colspan="1">1,435 (16.8)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> 4</td><td valign="top" align="center" rowspan="1" colspan="1">1,224 (16.6)</td><td valign="top" align="center" rowspan="1" colspan="1">1,287 (15.1)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> 5 (highest)</td><td valign="top" align="center" rowspan="1" colspan="1">1,260 (17.1)</td><td valign="top" align="center" rowspan="1" colspan="1">1,165 (13.6)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1">Died</td><td valign="top" align="center" rowspan="1" colspan="1">2,821 (38.2)</td><td valign="top" align="center" rowspan="1" colspan="1">2,381 (27.8)</td></tr></tbody></table><table-wrap-foot><p>*Units are no. (%) unless otherwise indicated. CADG, collapsed aggregated diagnosis group.</p></table-wrap-foot></table-wrap><p>Of the NTM-PD patients, 272 (3.7%) were admitted to a hospital within 5 days of the index date and 3,839 (52.0%) were admitted within 30 days. The mean (&#x000b1; SD) length of hospital stay was 11.1 (&#x000b1; 20.5) days for those admitted within 5 days and 10.7 (&#x000b1; 24.0) days for those admitted within 30 days. For these patients, the 90-day all-cause mortality rate was 6.0% (n = 444) and the 1-year rate was 13.9% (n = 1,024).</p><p>Of the NTM-PI patients, 241 (2.8%) were admitted to the hospital within 5 days and 2,294 (26.7%) within 30 days; mean (&#x000b1; SD) length of stay was 10.6 (&#x000b1; 22.9) days for those admitted within 5 days and 14.0 (28.5) days for those admitted within 30 days. For these patients, the 90-day all-cause mortality rate was 3.4% (n = 294) and the 1-year rate was 8.6% (n = 738).</p><p>We matched 7,243 (98.1%) of NTM-PD and 8,393 (97.8%) of NTM-PI patients to unexposed persons. All standardized differences were &#x0003c;0.1, indicating good balance (<xref rid="T2" ref-type="table">Table 2</xref>). We matched 3,116 (98.8%) of NTM-PD and 2,616 (97.8%) of NTM-PI patients who died and found that standardized differences were &#x0003c;0.1 for both groups.</p></sec><sec><title>Cost Analysis</title><p>For NTM-PD and NTM-PI, the mean attributable costs over the first 3 phases declined to the lowest cost during the continuous care phase (CAD $236 [USD $182], 95% CI CAD $199&#x02013;$272 [USD $154&#x02013;$210] for NTM-PD; CAD $133 [USD $103], 95% CI CAD $111&#x02013;$154 [USD $85&#x02013;$119] for NTM-PI). Costs then increased to the highest costs in the before-death phase (CAD $1,352 [USD $1,044], 95% CI CAD $1,104&#x02013;$1,601 [USD $852&#x02013;$1,236] for NTM-PD; CAD $731 [USD $565], 95% CI $506&#x02013;$958 [USD $390&#x02013;$739] for NTM-PI) (<xref rid="T4" ref-type="table">Table 4</xref>). For NTM-PD and NTM-PI, hospitalizations accounted for the largest proportion of costs across all phases. In the initial infection phase, 67.9% (CAD $663 [USD $512]) of NTM-PD costs and 65.5% (CAD $415 [USD $320]) of NTM-PI costs were for hospitalization.</p><table-wrap id="T4" position="float"><label>Table 4</label><caption><title>Ten-day mean attributable costs by phase for nontuberculous mycobacterial pulmonary disease and nontuberculous mycobacterial pulmonary isolation, Ontario, 2001&#x02013;2012<bold>*</bold></title></caption><table frame="hsides" rules="groups"><col width="198" span="1"/><col width="90" span="1"/><col width="85" span="1"/><col width="108" span="1"/><thead><tr><th rowspan="2" valign="bottom" align="left" scope="col" colspan="1">Spending category (no. patients)</th><th valign="bottom" colspan="3" align="center" scope="colgroup" rowspan="1">Cost, CAD<hr/></th></tr><tr><th valign="bottom" colspan="1" align="center" scope="colgroup" rowspan="1">Exposed persons</th><th valign="bottom" align="center" scope="col" rowspan="1" colspan="1">Unexposed persons</th><th valign="bottom" align="center" scope="col" rowspan="1" colspan="1">Attributable (95% CI)</th></tr></thead><tbody><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">Nontuberculous mycobacterial pulmonary disease </td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1"> Initial infection (6,906)</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Total</td><td valign="top" align="center" rowspan="1" colspan="1">1,209</td><td valign="top" align="center" rowspan="1" colspan="1">232</td><td valign="top" align="center" rowspan="1" colspan="1">977 (905&#x02013;1,048)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Hospitalization </td><td valign="top" align="center" rowspan="1" colspan="1">724</td><td valign="top" align="center" rowspan="1" colspan="1">61</td><td valign="top" align="center" rowspan="1" colspan="1">663 (603&#x02013;723)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Emergency department </td><td valign="top" align="center" rowspan="1" colspan="1">35</td><td valign="top" align="center" rowspan="1" colspan="1">6</td><td valign="top" align="center" rowspan="1" colspan="1">29 (27&#x02013;31)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Drugs </td><td valign="top" align="center" rowspan="1" colspan="1">60</td><td valign="top" align="center" rowspan="1" colspan="1">37</td><td valign="top" align="center" rowspan="1" colspan="1">23 (19&#x02013;26)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Physicians</td><td valign="top" align="center" rowspan="1" colspan="1">232</td><td valign="top" align="center" rowspan="1" colspan="1">45</td><td valign="top" align="center" rowspan="1" colspan="1">187 (177&#x02013;196)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Other </td><td valign="top" align="center" rowspan="1" colspan="1">158</td><td valign="top" align="center" rowspan="1" colspan="1">83</td><td valign="top" align="center" rowspan="1" colspan="1">75 (62&#x02013;88)</td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1"> Subsequent care (6,906)</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Total</td><td valign="top" align="center" rowspan="1" colspan="1">713</td><td valign="top" align="center" rowspan="1" colspan="1">218</td><td valign="top" align="center" rowspan="1" colspan="1">494 (438&#x02013;549)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Hospitalization </td><td valign="top" align="center" rowspan="1" colspan="1">360</td><td valign="top" align="center" rowspan="1" colspan="1">55</td><td valign="top" align="center" rowspan="1" colspan="1">305 (258&#x02013;352)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Emergency department </td><td valign="top" align="center" rowspan="1" colspan="1">12</td><td valign="top" align="center" rowspan="1" colspan="1">6</td><td valign="top" align="center" rowspan="1" colspan="1">6 (5&#x02013;7)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Drugs </td><td valign="top" align="center" rowspan="1" colspan="1">67</td><td valign="top" align="center" rowspan="1" colspan="1">37</td><td valign="top" align="center" rowspan="1" colspan="1">30 (26&#x02013;34)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Physicians</td><td valign="top" align="center" rowspan="1" colspan="1">114</td><td valign="top" align="center" rowspan="1" colspan="1">41</td><td valign="top" align="center" rowspan="1" colspan="1">73 (68&#x02013;79)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Other </td><td valign="top" align="center" rowspan="1" colspan="1">160</td><td valign="top" align="center" rowspan="1" colspan="1">80</td><td valign="top" align="center" rowspan="1" colspan="1">80 (65&#x02013;95)</td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1"> Continuous care (6,489)</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Total</td><td valign="top" align="center" rowspan="1" colspan="1">530</td><td valign="top" align="center" rowspan="1" colspan="1">294</td><td valign="top" align="center" rowspan="1" colspan="1">236 (199&#x02013;272)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Hospitalization </td><td valign="top" align="center" rowspan="1" colspan="1">196</td><td valign="top" align="center" rowspan="1" colspan="1">75</td><td valign="top" align="center" rowspan="1" colspan="1">120 (92&#x02013;149)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Emergency department </td><td valign="top" align="center" rowspan="1" colspan="1">13</td><td valign="top" align="center" rowspan="1" colspan="1">8</td><td valign="top" align="center" rowspan="1" colspan="1">5 (4&#x02013;6)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Drugs </td><td valign="top" align="center" rowspan="1" colspan="1">73</td><td valign="top" align="center" rowspan="1" colspan="1">43</td><td valign="top" align="center" rowspan="1" colspan="1">29 (26&#x02013;33)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Physicians</td><td valign="top" align="center" rowspan="1" colspan="1">77</td><td valign="top" align="center" rowspan="1" colspan="1">45</td><td valign="top" align="center" rowspan="1" colspan="1">33 (30&#x02013;36)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Other </td><td valign="top" align="center" rowspan="1" colspan="1">171</td><td valign="top" align="center" rowspan="1" colspan="1">123</td><td valign="top" align="center" rowspan="1" colspan="1">48 (34&#x02013;61)</td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1"> Before-death (2,835)</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Total</td><td valign="top" align="center" rowspan="1" colspan="1">5,300</td><td valign="top" align="center" rowspan="1" colspan="1">3,947</td><td valign="top" align="center" rowspan="1" colspan="1">1,352 (1,104&#x02013;1,601)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Hospitalization </td><td valign="top" align="center" rowspan="1" colspan="1">3,757</td><td valign="top" align="center" rowspan="1" colspan="1">2,492</td><td valign="top" align="center" rowspan="1" colspan="1">1,265 (1,032&#x02013;1,497)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Emergency department </td><td valign="top" align="center" rowspan="1" colspan="1">111</td><td valign="top" align="center" rowspan="1" colspan="1">108</td><td valign="top" align="center" rowspan="1" colspan="1">2 (&#x02212;2 to 6)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Drugs </td><td valign="top" align="center" rowspan="1" colspan="1">110</td><td valign="top" align="center" rowspan="1" colspan="1">105</td><td valign="top" align="center" rowspan="1" colspan="1">5 (&#x02212;3 to 14)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Physicians</td><td valign="top" align="center" rowspan="1" colspan="1">573</td><td valign="top" align="center" rowspan="1" colspan="1">417</td><td valign="top" align="center" rowspan="1" colspan="1">156 (130&#x02013;182)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Other <hr/></td><td valign="top" align="center" rowspan="1" colspan="1">749<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">825<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">&#x02212;76 (&#x02212;128 to &#x02212;24)<hr/></td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">Nontuberculous mycobacterial pulmonary isolation </td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1"> Initial infection (8,171)</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Total</td><td valign="top" align="center" rowspan="1" colspan="1">822</td><td valign="top" align="center" rowspan="1" colspan="1">189</td><td valign="top" align="center" rowspan="1" colspan="1">633 (591&#x02013;676)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Hospitalization </td><td valign="top" align="center" rowspan="1" colspan="1">464</td><td valign="top" align="center" rowspan="1" colspan="1">49</td><td valign="top" align="center" rowspan="1" colspan="1">415 (381&#x02013;449)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Emergency department </td><td valign="top" align="center" rowspan="1" colspan="1">32</td><td valign="top" align="center" rowspan="1" colspan="1">5</td><td valign="top" align="center" rowspan="1" colspan="1">27 (25&#x02013;29)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Drugs </td><td valign="top" align="center" rowspan="1" colspan="1">48</td><td valign="top" align="center" rowspan="1" colspan="1">30</td><td valign="top" align="center" rowspan="1" colspan="1">18 (15&#x02013;20)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Physicians</td><td valign="top" align="center" rowspan="1" colspan="1">158</td><td valign="top" align="center" rowspan="1" colspan="1">38</td><td valign="top" align="center" rowspan="1" colspan="1">120 (114&#x02013;125)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Other </td><td valign="top" align="center" rowspan="1" colspan="1">121</td><td valign="top" align="center" rowspan="1" colspan="1">67</td><td valign="top" align="center" rowspan="1" colspan="1">54 (42&#x02013;67)</td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1"> Subsequent care (8,171)</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Total</td><td valign="top" align="center" rowspan="1" colspan="1">436</td><td valign="top" align="center" rowspan="1" colspan="1">183</td><td valign="top" align="center" rowspan="1" colspan="1">253 (222&#x02013;284)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Hospitalization </td><td valign="top" align="center" rowspan="1" colspan="1">178</td><td valign="top" align="center" rowspan="1" colspan="1">45</td><td valign="top" align="center" rowspan="1" colspan="1">133 (109&#x02013;156)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Emergency department </td><td valign="top" align="center" rowspan="1" colspan="1">11</td><td valign="top" align="center" rowspan="1" colspan="1">5</td><td valign="top" align="center" rowspan="1" colspan="1">6 (5&#x02013;7)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Drugs </td><td valign="top" align="center" rowspan="1" colspan="1">51</td><td valign="top" align="center" rowspan="1" colspan="1">30</td><td valign="top" align="center" rowspan="1" colspan="1">21 (17&#x02013;24)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Physicians</td><td valign="top" align="center" rowspan="1" colspan="1">80</td><td valign="top" align="center" rowspan="1" colspan="1">37</td><td valign="top" align="center" rowspan="1" colspan="1">43 (40&#x02013;47)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Other </td><td valign="top" align="center" rowspan="1" colspan="1">117</td><td valign="top" align="center" rowspan="1" colspan="1">67</td><td valign="top" align="center" rowspan="1" colspan="1">50 (39&#x02013;62)</td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1"> Continuous care (7,860)</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Total</td><td valign="top" align="center" rowspan="1" colspan="1">387</td><td valign="top" align="center" rowspan="1" colspan="1">253</td><td valign="top" align="center" rowspan="1" colspan="1">133 (111&#x02013;154)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Hospitalization </td><td valign="top" align="center" rowspan="1" colspan="1">122</td><td valign="top" align="center" rowspan="1" colspan="1">64</td><td valign="top" align="center" rowspan="1" colspan="1">57 (42&#x02013;72)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Emergency department </td><td valign="top" align="center" rowspan="1" colspan="1">11</td><td valign="top" align="center" rowspan="1" colspan="1">7</td><td valign="top" align="center" rowspan="1" colspan="1">4 (3&#x02013;5)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Drugs </td><td valign="top" align="center" rowspan="1" colspan="1">57</td><td valign="top" align="center" rowspan="1" colspan="1">36</td><td valign="top" align="center" rowspan="1" colspan="1">22 (19&#x02013;25)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Physicians</td><td valign="top" align="center" rowspan="1" colspan="1">60</td><td valign="top" align="center" rowspan="1" colspan="1">40</td><td valign="top" align="center" rowspan="1" colspan="1">20 (18&#x02013;22)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Other </td><td valign="top" align="center" rowspan="1" colspan="1">136</td><td valign="top" align="center" rowspan="1" colspan="1">106</td><td valign="top" align="center" rowspan="1" colspan="1">29 (19&#x02013;40)</td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1"> Before death (2,374)</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Total</td><td valign="top" align="center" rowspan="1" colspan="1">4,532</td><td valign="top" align="center" rowspan="1" colspan="1">3,800</td><td valign="top" align="center" rowspan="1" colspan="1">731 (506&#x02013;958)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Hospitalization </td><td valign="top" align="center" rowspan="1" colspan="1">3,088</td><td valign="top" align="center" rowspan="1" colspan="1">2,351</td><td valign="top" align="center" rowspan="1" colspan="1">736 (524&#x02013;949)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Emergency department </td><td valign="top" align="center" rowspan="1" colspan="1">124</td><td valign="top" align="center" rowspan="1" colspan="1">108</td><td valign="top" align="center" rowspan="1" colspan="1">17 (12&#x02013;22)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Drugs </td><td valign="top" align="center" rowspan="1" colspan="1">108</td><td valign="top" align="center" rowspan="1" colspan="1">101</td><td valign="top" align="center" rowspan="1" colspan="1">7 (&#x02212;1 to 15)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Physicians</td><td valign="top" align="center" rowspan="1" colspan="1">474</td><td valign="top" align="center" rowspan="1" colspan="1">412</td><td valign="top" align="center" rowspan="1" colspan="1">62 (40&#x02013;83)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Other </td><td valign="top" align="center" rowspan="1" colspan="1">738</td><td valign="top" align="center" rowspan="1" colspan="1">827</td><td valign="top" align="center" rowspan="1" colspan="1">&#x02212;90 (&#x02212;146 to &#x02212;34)</td></tr></tbody></table><table-wrap-foot><p>*Costs presented in 2018 Canadian dollars (CAD). In 2018, $1 CAD =&#x000a0;$0.77 US dollars.</p></table-wrap-foot></table-wrap><p>For NTM-PD and NTM-PI patients, mean attributable hospitalization costs were highest before death (NTM-PD CAD $1,265 [USD $976], 95% CI CAD $1,033&#x02013;$1,498 [USD $797&#x02013;$1,156]; NTM-PI CAD $737 [USD $569], 95% CI CAD $524&#x02013;$949 [USD $404&#x02013;$732]) and second highest during the initial infection phase (NTM-PD CAD $663 [USD $512], 95% CI CAD $603&#x02013;$723 [USD $465&#x02013;$558]; NTM-PI CAD $415 [USD $321], 95% CI CAD $382&#x02013;$450 [USD $294&#x02013;$347]). Physician service costs were greatest during the initial infection stage, costing an average of CAD $187 (USD $144), 95% CI CAD $177&#x02013;$196 (USD $137&#x02013;$151) more than uninfected persons for NTM-PD and CAD $119 (USD $92), 95% CI CAD $114&#x02013;$125 (USD $88&#x02013;$97) more than uninfected persons for NTM-PI.</p><p>For NTM-PD patients, costs were greatest during the before-death phase and the initial infection phase (<xref ref-type="fig" rid="F1">Figure 1</xref>). The highest costs before death were found for patients in the &#x0003c;25 years age group (CAD $7,952 [USD $6,138], 95% CI CAD $3,840&#x02013;$19,744 [USD &#x02013;$2,963 to $15,238]; n= 7) and declined in each subsequent age group; the lowest costs before death were found for patients <underline>&#x0003e;</underline>85 years of age (CAD $762 [USD $588], 95% CI CAD $379&#x02013;$1,145 [USD $293&#x02013;$883]; n = 778). Similarly, the highest costs before death for NTM-PI patients were for those &#x0003c;25 years of age (CAD $16,303 [USD $12,583], 95% CI CAD $16,161&#x02013;$16,446 [USD $12,473&#x02013;$12,692], n&#x0003c;6); however, the lowest attributable costs were for those 25&#x02013;44 years of age (CAD $261 [USD $202], 95% CI CAD &#x02013;$2,519 to $3,041 [USD &#x02013;$1,944 to $2,347]; n = 57), followed by declining costs in each of the subsequent age categories: 45&#x02013;64 years (n = 351), 65&#x02013;84 years (n = 1,440), and <underline>&#x0003e;</underline>85 years (n = 822) (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p><fig id="F1" fig-type="figure" position="float"><label>Figure 1</label><caption><p>Ten-day mean attributable costs for nontuberculous mycobacterial pulmonary disease patients by phase, stratified by age, Ontario, Canada, 2001&#x02013;2012. Number of patients per category: initial infection, 6,906; subsequent care, 6,906; continuous care, 6,489; before death, 2,835.</p></caption><graphic xlink:href="19-0524-F1"/></fig><fig id="F2" fig-type="figure" position="float"><label>Figure 2</label><caption><p>Ten-day mean attributable costs for nontuberculous mycobacterial pulmonary isolation patients by phase, stratified by age, Ontario, Canada, 2001&#x02013;2012. Number of patients per category: initial infection, 8,171; subsequent care, 8,171; continuous care, 7,860; before death, 2,374.</p></caption><graphic xlink:href="19-0524-F2"/></fig><p>Overall, mean attributable costs were higher for male than for female NTM-PD patients in all phases except before death, when attributable costs were higher for female than male patients (<xref ref-type="fig" rid="F3">Figure 3</xref>). In the before-death phase, NTM-PD female and male attributable costs were CAD $1,316 (USD $1,016), 95% CI CAD $925&#x02013;$1,709 (USD $714&#x02013;$1,319) for female patients and CAD $1,166 (USD $900), 95% CI CAD $826&#x02013;$1,505 (USD $638&#x02013;$1,162) for male patients. For NTM-PI patients during all phases, mean attributable costs were higher for male than for female patients (<xref ref-type="fig" rid="F4">Figure 4</xref>). The mean attributable cumulative 1-year costs adjusted for survival were CAD $14,953 (USD $11,541) per NTM-PD patient and $CAD 8,729 (USD $6,737) per NTM-PI patient.</p><fig id="F3" fig-type="figure" position="float"><label>Figure 3</label><caption><p>Ten-day mean attributable costs for nontuberculous mycobacterial pulmonary disease patients by phase, stratified by sex, Ontario, Canada, 2001&#x02013;2012. Number of patients per category: initial infection, 6,906; subsequent care, 6,906; continuous care, 6,489; before death, 2,835. Error bars indicate 95% CIs.</p></caption><graphic xlink:href="19-0524-F3"/></fig><fig id="F4" fig-type="figure" position="float"><label>Figure 4</label><caption><p>Ten-day mean attributable costs for nontuberculous mycobacterial pulmonary isolation patients by phase, stratified by sex, Ontario, Canada, 2001&#x02013;2012. Number of patients per category: initial infection, 8,171; subsequent care, 8,171; continuous care, 7,860; before death, 2,374. Error bars indicate 95% CIs.</p></caption><graphic xlink:href="19-0524-F4"/></fig></sec><sec><title>Sensitivity Analysis</title><p>After removing from analysis persons with a history of lung cancer or cystic fibrosis, we matched 6,461 NTM-PD and 7,887 NTM-PI patients to unexposed persons. For NTM-PD, total mean attributable 10-day costs per patient were CAD $951 (USD $734), 95% CI CAD $875&#x02013;$1,027 (USD $675&#x02013;$792) for initial infection; CAD $428 (USD $330), 95% CI CAD $370&#x02013;$485 (USD $286&#x02013;$374) for subsequent care; CAD $190 (USD $146), 95% CI CAD $153&#x02013;$227 (USD $118&#x02013;$175) for continuous care; and CAD $1,479 (USD $1,141), 95% CI CAD $1,176&#x02013;$1,780 (USD $908&#x02013;$1,374) for before-death phases (<xref rid="T5" ref-type="table">Table 5</xref>). For the same phases, the total mean attributable costs for NTM-PI patients were CAD $614 (USD $474), 95% CI CAD $570&#x02013;$659 (USD $440&#x02013;$508); CAD $220 (USD $170), 95% CI CAD $189&#x02013;$253 (USD $146&#x02013;$195); CAD $108 (USD $83), 95% CI CAD $85&#x02013;$130 (USD $66&#x02013;$100); and CAD $850 (USD $656), 95% CI CAD $589&#x02013;$1,110 (USD $455&#x02013;$857). For NTM-PD patients, the attributable costs in the sensitivity analysis were significantly lower during the subsequent care and continuous care phases. For NTM-PI patients, the costs were significantly lower during the continuous care phase only.</p><table-wrap id="T5" position="float"><label>Table 5</label><caption><title>Sensitivity analysis 10-d mean attributable costs by phase for nontuberculous mycobacterial pulmonary disease and nontuberculous mycobacterial pulmonary isolation, Ontario, Canada, 2001&#x02013;2012* </title></caption><table frame="hsides" rules="groups"><col width="198" span="1"/><col width="89" span="1"/><col width="85" span="1"/><col width="109" span="1"/><thead><tr><th rowspan="2" valign="bottom" align="left" scope="col" colspan="1">Phase (no. patients)</th><th valign="bottom" colspan="3" align="center" scope="colgroup" rowspan="1">Cost, CAD<hr/></th></tr><tr><th valign="bottom" colspan="1" align="center" scope="colgroup" rowspan="1">Exposed persons</th><th valign="bottom" align="center" scope="col" rowspan="1" colspan="1">Unexposed persons</th><th valign="bottom" align="center" scope="col" rowspan="1" colspan="1">Attributable (95% CI)</th></tr></thead><tbody><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">Nontuberculous mycobacterial pulmonary disease </td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1"> Mean cost by phase</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Initial infection (6,187)</td><td valign="top" align="center" rowspan="1" colspan="1">1,189</td><td valign="top" align="center" rowspan="1" colspan="1">238</td><td valign="top" align="center" rowspan="1" colspan="1">951 (875&#x02013;1,027)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Subsequent care (6,187)</td><td valign="top" align="center" rowspan="1" colspan="1">653</td><td valign="top" align="center" rowspan="1" colspan="1">227</td><td valign="top" align="center" rowspan="1" colspan="1">428 (370&#x02013;485)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Continuous care (5,907)</td><td valign="top" align="center" rowspan="1" colspan="1">493</td><td valign="top" align="center" rowspan="1" colspan="1">304</td><td valign="top" align="center" rowspan="1" colspan="1">190 (153&#x02013;227)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Before death (2,204)<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">5,662<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">4,183<hr/></td><td valign="top" align="center" rowspan="1" colspan="1">1,479 (1,176&#x02013;1,781)<hr/></td></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1">Nontuberculous mycobacterial pulmonary isolation </td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="col" rowspan="1" colspan="1"> Mean cost by phase</td><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/><td valign="top" align="left" rowspan="1" colspan="1"/></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Initial infection (7,693)</td><td valign="top" align="center" rowspan="1" colspan="1">807</td><td valign="top" align="center" rowspan="1" colspan="1">193</td><td valign="top" align="center" rowspan="1" colspan="1">614 (570&#x02013;659)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Subsequent care (7,693)</td><td valign="top" align="center" rowspan="1" colspan="1">412</td><td valign="top" align="center" rowspan="1" colspan="1">192</td><td valign="top" align="center" rowspan="1" colspan="1">220 (189&#x02013;253)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Continuous care (7,471)</td><td valign="top" align="center" rowspan="1" colspan="1">370</td><td valign="top" align="center" rowspan="1" colspan="1">261</td><td valign="top" align="center" rowspan="1" colspan="1">108 (85&#x02013;130)</td></tr><tr><td valign="top" align="left" scope="row" rowspan="1" colspan="1"> Before death (1,963)</td><td valign="top" align="center" rowspan="1" colspan="1">4,692</td><td valign="top" align="center" rowspan="1" colspan="1">3,843</td><td valign="top" align="center" rowspan="1" colspan="1">850 (589&#x02013;1,110)</td></tr></tbody></table><table-wrap-foot><p>*Analysis excluded excluding persons with a history of lung cancer or cystic fibrosis. CAD, 2018 Canadian dollars. In 2018, $1 CAD in 2018&#x000a0;=&#x000a0;$0.77 US dollars.</p></table-wrap-foot></table-wrap></sec></sec><sec sec-type="discussion"><title>Discussion</title><p>In this study, we found higher attributable healthcare costs to be associated with persons with NTM-PD or NTM-PI compared with persons without NTM. The highest costs were associated with hospitalizations, particularly during the initial infection and before-death phases; overall costs were markedly lower during the subsequent care and continuous care phases. Hospital admissions within 30 days of index date were more common among NTM-PD (52%) than NTM-PI (27%) patients. Incident cases in Ontario during our observation period were an average of 225 cases of NTM-PD and 191 cases of NTM-PI. On the basis of the cumulative 1-year costs, this finding would translate into an estimated total annual healthcare cost of CAD $3,369,765 (USD $2,600,730) for NTM-PD and CAD $1,667,863 (USD $1,287,229) for NTM-PI.</p><p>For all phases, 10-day mean attributable costs were higher for patients with NTM-PD than for those with NTM-PI. However, healthcare costs were significantly higher for patients with NTM-PI than for persons without NTM infection. Although 1 positive sputum sample may be clinically insignificant for some persons, for others it might represent the single isolation of a chronically present organism. It is therefore possible that some persons with NTM-PI had true disease, which may explain the higher healthcare costs. Alternatively, the higher healthcare costs may relate to a non-NTM lung condition that prompted specimen collection for culture, whereby the positive NTM culture was a nonsignificant bystander. Unfortunately, we do not have data on negative cultures to explore this further.</p><p>Overall, mean attributable costs for some phases were somewhat lower in the sensitivity analysis after we removed from analysis persons with a history of lung cancer or cystic fibrosis, which may result from expected increased costs for patients with related conditions. The lack of larger differences in attributable costs between these analyses may be explained by effective matching that used comorbidity scores that may have already accounted for these conditions in the cohort used for the primary analysis.</p><p>This study has limitations. Secondary use of health administrative data are prone to errors that could result in misclassification bias. Regarding the diagnosis of NTM-PD, we assumed that all patients who fulfilled the microbiological criteria of the ATS/IDSA guidelines truly had cases of NTM-PD. This assumption is highly accurate (positive predictive value 70%&#x02013;100%), but some patients are invariably incorrectly classified as having NTM-PD (<xref rid="R23" ref-type="bibr"><italic>23</italic></xref>&#x02013;<xref rid="R26" ref-type="bibr"><italic>26</italic></xref>). However, the finding that attributable healthcare costs for patients with NTM-PI were comparably high supports the finding of high costs associated with pulmonary NTM infection. In addition, the retrospective use of administrative data is limited by the variables that are available. Because this research was conducted from the healthcare payer perspective, the results capture only direct healthcare costs of NTM-PD and NTM-PI, not societal or indirect costs, which includes not capturing all medication costs associated with NTM because these costs are captured only for those with publicly funded medication coverage (i.e., adults <underline>&#x0003e;</underline>65 years of age and those receiving social assistance).</p><p>This study was strengthened by using both hard-matching and propensity score matching to reduce bias between unexposed and exposed persons. By matching on major covariates, we reduced the potential confounding by these covariates, allowing for a more robust estimate of NTM-PD and NTM-PI attributable costs. This study was further strengthened by using Ontario health administrative data, which contain extensive data on Ontario population healthcare use. Ontario is the most populous province in Canada (&#x02248;40% of the population) and is fairly representative of the population of Canada (<xref rid="R27" ref-type="bibr"><italic>27</italic></xref>). In addition, the Public Health Ontario laboratory processes &#x02248;95% of NTM isolates for the province (<xref rid="R28" ref-type="bibr"><italic>28</italic></xref>), providing almost complete capture of microbiologically defined incident NTM-PD and NTM-PI cases in Ontario.</p><p>Previous studies have estimated the economic costs of NTM-PD in Canada and elsewhere. One group focused on the direct costs of NTM without assessing total healthcare costs. A retrospective study of 91 patients with NTM-PD treated at a clinic in Ontario reported that CAD $500/month was associated with NTM treatment, including costs of medications and their administration, physicians&#x02019; fees, and diagnostic tests (<xref rid="R11" ref-type="bibr"><italic>11</italic></xref>). That study, however, was unable to study all healthcare costs and was limited to 1 clinic, introducing substantial bias. One study in the United States estimated the cost of antibiotic treatment (but excluded costs of administration) for NTM-PD patients during 2004&#x02013;2005 and found that among 27 eligible patients, the median monthly treatment cost was USD $481 (<xref rid="R29" ref-type="bibr"><italic>29</italic></xref>). Comparing the results of this study to the results from our analysis is difficult because not all medication costs are captured in Ontario&#x02019;s health administrative data and because of differences in costs associated with healthcare systems in Canada and the United States. Another study conducted in the United States, which sought to estimate the direct costs of investigating and managing NTM-PD, used Medicare beneficiary data and costs from the literature to determine that medication costs made up most of NTM direct healthcare costs (<xref rid="R30" ref-type="bibr"><italic>30</italic></xref>). Another study of direct NTM costs focused on patients with refractory MAC-PD. That study used a physician survey method and found that in Canada, average annual direct medical costs were CAD $16,200 and also presented data for Germany, France, and the United Kingdom (costs 9,700&#x02013;17,900 Euros) (<xref rid="R31" ref-type="bibr"><italic>31</italic></xref>). Although clear that the costs associated with refractory MAC-PD were high, the biased population (refractory disease) makes comparison with our study results difficult. Furthermore, the above-mentioned studies ignored total healthcare costs, which are undoubtedly influenced by the effects of NTM-PD on other diseases.</p><p>A second group of studies included all healthcare costs associated with NTM-PD. In a study performed in a managed care population in the United States, total healthcare costs for NTM-PD patients exceeded those for controls by USD $44,070 in the first year after diagnosis and $19,124 in the second (index date) (<xref rid="R32" ref-type="bibr"><italic>32</italic></xref>). Limitations of that study included the lack of phase-of-illness modeling and the use of hard-matching by age and sex and statistical adjustment for underlying conditions. The results of propensity score matched analyses led to attenuation of the differences, which were still substantial. The comparison between the sampling of a US population enrolled in certain managed care programs and a population-based Ontario sample is difficult, but both studies identified a substantial increase in cost among patients with pulmonary NTM. A study in Germany investigated total healthcare costs among patients with incident NTM-PD compared with controls matched by age, sex, and Charlson Comorbidity Index category, identifying patients from a large and likely representative national-level database (<xref rid="R33" ref-type="bibr"><italic>33</italic></xref>). Studied costs were incurred within the 3 years after NTM diagnosis; mean total healthcare expenditures for NTM-PD patients were &#x02248;4 times those of controls (39,599 vs. 10,006 Euros) (<xref rid="R33" ref-type="bibr"><italic>33</italic></xref>). The comparison was limited by probable inadequate matching, in that Charlson Comorbidity Index category probably provides relatively coarse discrimination among patients with varying levels of illness severity.</p><p>The qualitative results of our study may be transferable to jurisdictions with similar healthcare systems (i.e., publicly funded) and with similar population health profiles, but the magnitude of cost associated with NTM undoubtedly varies according to system-specific costs. NTM-PD and NTM-PI are responsible for substantial economic burden in Ontario. These results can be used in future economic evaluations to inform policy making on prevention, screening, and treatment options.</p></sec></body><back><fn-group><fn fn-type="citation"><p><italic>Suggested citation for this article</italic>: Ramsay LC, Shing E, Wang J, Marras TK, Kwong JC, Brode SK, et al. Costs associated with nontuberculous mycobacteria infection, Ontario, Canada, 2001&#x02013;2012. Emerg Infect Dis. 2020 Sep [<italic>date cited</italic>]. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3201/eid2609.190524">https://doi.org/10.3201/eid2609.190524</ext-link></p></fn></fn-group><ack><p>This study was funded by Public Health Ontario through the Project Initiation Fund. This study was supported by ICES, which is funded by an annual grant from the Ontario Ministry of Health and Long-Term Care (MOHLTC). Parts of this material are based on data and information compiled and provided by: the MOHLTC, Canadian Institute for Health Information (CIHI), Cystic Fibrosis Canada, and by Cancer Care Ontario (CCO). The analyses, conclusions, opinions and statements expressed herein are solely those of the authors and do not reflect those of the funding or data sources; no endorsement is intended or should be inferred.</p><p>J.C.K. was supported by a Clinician Scientist Award from the University of Toronto Department of Family and Community Medicine. T.K.M. received grants and personal fees from Insmed, personal fees from Horizon, personal fees from RedHill, and personal fees from Astra-Zeneca, personal fees from Novartis, outside the submitted work. S.K.B. received funds paid to her institution from Insmed for a clinical trial relating to NTM disease and Boehringer Ingelheim for continuing medical education relating to NTM disease. All other authors have no conflicts to report.</p></ack><bio id="d38e1788"><p>Ms. Ramsay is a PhD student at the University of Toronto and a Research Associate at the University Health Network in Toronto. Her primary research interests are population-based costing studies and public health.</p></bio><ref-list><title>References</title><ref id="R1"><label>1. </label><mixed-citation publication-type="journal"><string-name><surname>Brode</surname>
<given-names>SK</given-names></string-name>, <string-name><surname>Daley</surname>
<given-names>CL</given-names></string-name>, <string-name><surname>Marras</surname>
<given-names>TK</given-names></string-name>. <article-title>The epidemiologic relationship between tuberculosis and non-tuberculous mycobacterial disease: a systematic review.</article-title>
<source>Int J Tuberc Lung Dis</source>. <year>2014</year>;<volume>18</volume>:<fpage>1370</fpage>&#x02013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.5588/ijtld.14.0120</pub-id><pub-id pub-id-type="pmid">25299873</pub-id></mixed-citation></ref><ref id="R2"><label>2. </label><mixed-citation publication-type="journal"><string-name><surname>Marras</surname>
<given-names>TK</given-names></string-name>, <string-name><surname>Mendelson</surname>
<given-names>D</given-names></string-name>, <string-name><surname>Marchand-Austin</surname>
<given-names>A</given-names></string-name>, <string-name><surname>May</surname>
<given-names>K</given-names></string-name>, <string-name><surname>Jamieson</surname>
<given-names>FB</given-names></string-name>. <article-title>Pulmonary nontuberculous mycobacterial disease, Ontario, Canada, 1998-2010.</article-title>
<source>Emerg Infect Dis</source>. <year>2013</year>;<volume>19</volume>:<fpage>1889</fpage>&#x02013;<lpage>91</lpage>. <pub-id pub-id-type="doi">10.3201/eid1911.130737</pub-id><pub-id pub-id-type="pmid">24210012</pub-id></mixed-citation></ref><ref id="R3"><label>3. </label><mixed-citation publication-type="journal"><string-name><surname>Henkle</surname>
<given-names>E</given-names></string-name>, <string-name><surname>Hedberg</surname>
<given-names>K</given-names></string-name>, <string-name><surname>Schafer</surname>
<given-names>S</given-names></string-name>, <string-name><surname>Novosad</surname>
<given-names>S</given-names></string-name>, <string-name><surname>Winthrop</surname>
<given-names>KL</given-names></string-name>. <article-title>Population-based incidence of pulmonary nontuberculous mycobacterial disease in Oregon 2007 to 2012.</article-title>
<source>Ann Am Thorac Soc</source>. <year>2015</year>;<volume>12</volume>:<fpage>642</fpage>&#x02013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1513/AnnalsATS.201412-559OC</pub-id><pub-id pub-id-type="pmid">25692495</pub-id></mixed-citation></ref><ref id="R4"><label>4. </label><mixed-citation publication-type="journal"><string-name><surname>Brode</surname>
<given-names>SK</given-names></string-name>, <string-name><surname>Marchand-Austin</surname>
<given-names>A</given-names></string-name>, <string-name><surname>Jamieson</surname>
<given-names>FB</given-names></string-name>, <string-name><surname>Marras</surname>
<given-names>TK</given-names></string-name>. <article-title>Pulmonary versus nonpulmonary nontuberculous mycobacteria, Ontario, Canada.</article-title>
<source>Emerg Infect Dis</source>. <year>2017</year>;<volume>23</volume>:<fpage>1898</fpage>&#x02013;<lpage>901</lpage>. <pub-id pub-id-type="doi">10.3201/eid2311.170959</pub-id><pub-id pub-id-type="pmid">29048292</pub-id></mixed-citation></ref><ref id="R5"><label>5. </label><mixed-citation publication-type="journal"><string-name><surname>Griffith</surname>
<given-names>DE</given-names></string-name>, <string-name><surname>Aksamit</surname>
<given-names>T</given-names></string-name>, <string-name><surname>Brown-Elliott</surname>
<given-names>BA</given-names></string-name>, <string-name><surname>Catanzaro</surname>
<given-names>A</given-names></string-name>, <string-name><surname>Daley</surname>
<given-names>C</given-names></string-name>, <string-name><surname>Gordin</surname>
<given-names>F</given-names></string-name>, <etal>et al.</etal>; <collab>ATS Mycobacterial Diseases Subcommittee</collab>; <collab>American Thoracic Society</collab>; <collab>Infectious Disease Society of America</collab>. <article-title>An official ATS/IDSA statement: diagnosis, treatment, and prevention of nontuberculous mycobacterial diseases.</article-title>
<source>Am J Respir Crit Care Med</source>. <year>2007</year>;<volume>175</volume>:<fpage>367</fpage>&#x02013;<lpage>416</lpage>. <pub-id pub-id-type="doi">10.1164/rccm.200604-571ST</pub-id><pub-id pub-id-type="pmid">17277290</pub-id></mixed-citation></ref><ref id="R6"><label>6. </label><mixed-citation publication-type="journal"><string-name><surname>Adjemian</surname>
<given-names>J</given-names></string-name>, <string-name><surname>Olivier</surname>
<given-names>KN</given-names></string-name>, <string-name><surname>Seitz</surname>
<given-names>AE</given-names></string-name>, <string-name><surname>Holland</surname>
<given-names>SM</given-names></string-name>, <string-name><surname>Prevots</surname>
<given-names>DR</given-names></string-name>. <article-title>Prevalence of nontuberculous mycobacterial lung disease in U.S. Medicare beneficiaries.</article-title>
<source>Am J Respir Crit Care Med</source>. <year>2012</year>;<volume>185</volume>:<fpage>881</fpage>&#x02013;<lpage>6</lpage>. <pub-id pub-id-type="doi">10.1164/rccm.201111-2016OC</pub-id><pub-id pub-id-type="pmid">22312016</pub-id></mixed-citation></ref><ref id="R7"><label>7. </label><mixed-citation publication-type="webpage"><string-name><surname>Griffith</surname>
<given-names>DE</given-names></string-name>, <string-name><surname>Fordham von Reyn</surname>
<given-names>C</given-names></string-name>, <string-name><surname>Bloom</surname>
<given-names>A</given-names></string-name>. Overview of nontuberculous mycobacterial infections in HIV-negative patients. UpToDate [cited 2020 Jan 2]. <ext-link ext-link-type="uri" xlink:href="https://www-uptodate-com.myaccess.library.utoronto.ca/contents/overview-of-nontuberculous-mycobacterial-infections-in-hiv-negative-patients?search=nontuberculous%20mycobacterial%20infections&#x00026;source=search_result&#x00026;selectedTitle=1~150&#x00026;usage_type=default&#x00026;display_rank=1">https://www-uptodate-com.myaccess.library.utoronto.ca/contents/overview-of-nontuberculous-mycobacterial-infections-in-hiv-negative-patients?search=nontuberculous%20mycobacterial%20infections&#x00026;source=search_result&#x00026;selectedTitle=1~150&#x00026;usage_type=default&#x00026;display_rank=1</ext-link></mixed-citation></ref><ref id="R8"><label>8. </label><mixed-citation publication-type="journal"><string-name><surname>Kwak</surname>
<given-names>N</given-names></string-name>, <string-name><surname>Park</surname>
<given-names>J</given-names></string-name>, <string-name><surname>Kim</surname>
<given-names>E</given-names></string-name>, <string-name><surname>Lee</surname>
<given-names>C-H</given-names></string-name>, <string-name><surname>Han</surname>
<given-names>SK</given-names></string-name>, <string-name><surname>Yim</surname>
<given-names>J-J</given-names></string-name>. <article-title>Treatment outcomes of <italic>Mycobacterium avium</italic> complex lung disease: a systematic review and meta-analysis.</article-title>
<source>Clin Infect Dis</source>. <year>2017</year>;<volume>65</volume>:<fpage>1077</fpage>&#x02013;<lpage>84</lpage>. <pub-id pub-id-type="doi">10.1093/cid/cix517</pub-id><pub-id pub-id-type="pmid">28582488</pub-id></mixed-citation></ref><ref id="R9"><label>9. </label><mixed-citation publication-type="journal"><string-name><surname>Koh</surname>
<given-names>W-J</given-names></string-name>, <string-name><surname>Moon</surname>
<given-names>SM</given-names></string-name>, <string-name><surname>Kim</surname>
<given-names>S-Y</given-names></string-name>, <string-name><surname>Woo</surname>
<given-names>M-A</given-names></string-name>, <string-name><surname>Kim</surname>
<given-names>S</given-names></string-name>, <string-name><surname>Jhun</surname>
<given-names>BW</given-names></string-name>, <etal>et al.</etal>
<article-title>Outcomes of <italic>Mycobacterium avium</italic> complex lung disease based on clinical phenotype.</article-title>
<source>Eur Respir J</source>. <year>2017</year>;<volume>50</volume>:<elocation-id>1602503</elocation-id>. <pub-id pub-id-type="doi">10.1183/13993003.02503-2016</pub-id><pub-id pub-id-type="pmid">28954780</pub-id></mixed-citation></ref><ref id="R10"><label>10. </label><mixed-citation publication-type="journal"><string-name><surname>Wallace</surname>
<given-names>RJ</given-names>
<suffix>Jr</suffix></string-name>, <string-name><surname>Brown-Elliott</surname>
<given-names>BA</given-names></string-name>, <string-name><surname>McNulty</surname>
<given-names>S</given-names></string-name>, <string-name><surname>Philley</surname>
<given-names>JV</given-names></string-name>, <string-name><surname>Killingley</surname>
<given-names>J</given-names></string-name>, <string-name><surname>Wilson</surname>
<given-names>RW</given-names></string-name>, <etal>et al.</etal>
<article-title>Macrolide/Azalide therapy for nodular/bronchiectatic <italic>mycobacterium avium</italic> complex lung disease.</article-title>
<source>Chest</source>. <year>2014</year>;<volume>146</volume>:<fpage>276</fpage>&#x02013;<lpage>82</lpage>. <pub-id pub-id-type="doi">10.1378/chest.13-2538</pub-id><pub-id pub-id-type="pmid">24457542</pub-id></mixed-citation></ref><ref id="R11"><label>11. </label><mixed-citation publication-type="journal"><string-name><surname>Leber</surname>
<given-names>A</given-names></string-name>, <string-name><surname>Marras</surname>
<given-names>TK</given-names></string-name>. <article-title>The cost of medical management of pulmonary nontuberculous mycobacterial disease in Ontario, Canada.</article-title>
<source>Eur Respir J</source>. <year>2011</year>;<volume>37</volume>:<fpage>1158</fpage>&#x02013;<lpage>65</lpage>. <pub-id pub-id-type="doi">10.1183/09031936.00055010</pub-id><pub-id pub-id-type="pmid">20817704</pub-id></mixed-citation></ref><ref id="R12"><label>12. </label><mixed-citation publication-type="webpage"><collab>Institute for Clinical Evaluative Sciences</collab>. ICES data [cited 2018 Nov 12]. <ext-link ext-link-type="uri" xlink:href="https://www.ices.on.ca/Data-and-Privacy/ICES-data">https://www.ices.on.ca/Data-and-Privacy/ICES-data</ext-link></mixed-citation></ref><ref id="R13"><label>13. </label><mixed-citation publication-type="journal"><string-name><surname>Cadarette</surname>
<given-names>SM</given-names></string-name>, <string-name><surname>Wong</surname>
<given-names>L</given-names></string-name>. <article-title>An introduction to health care administrative data.</article-title>
<source>Can J Hosp Pharm</source>. <year>2015</year>;<volume>68</volume>:<fpage>232</fpage>&#x02013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.4212/cjhp.v68i3.1457</pub-id><pub-id pub-id-type="pmid">26157185</pub-id></mixed-citation></ref><ref id="R14"><label>14. </label><mixed-citation publication-type="webpage"><string-name><surname>Wodchis</surname>
<given-names>WP</given-names></string-name>, <string-name><surname>Bushmeneva</surname>
<given-names>K</given-names></string-name>, <string-name><surname>Nikitovic</surname>
<given-names>M</given-names></string-name>, <string-name><surname>Mckillop</surname>
<given-names>I</given-names></string-name>. Guidelines on person-level costing using administrative databases in Ontario [cited 2018 Nov 12]. <ext-link ext-link-type="uri" xlink:href="https://tspace.library.utoronto.ca/bitstream/1807/87373/1/Wodchis%20et%20al_2013_Guidelines%20on%20Person-Level%20Costing.pdf">https://tspace.library.utoronto.ca/bitstream/1807/87373/1/Wodchis%20et%20al_2013_Guidelines%20on%20Person-Level%20Costing.pdf</ext-link></mixed-citation></ref><ref id="R15"><label>15. </label><mixed-citation publication-type="webpage"><collab>Institute for Clinical Evaluative Sciences</collab>. ICES data dictionary [cited 2020 Jan 2]. <ext-link ext-link-type="uri" xlink:href="https://datadictionary.ices.on.ca/Applications/DataDictionary/Default.aspx">https://datadictionary.ices.on.ca/Applications/DataDictionary/Default.aspx</ext-link></mixed-citation></ref><ref id="R16"><label>16. </label><mixed-citation publication-type="other"><string-name><surname>Kralj</surname>
<given-names>B.</given-names></string-name> Measuring &#x0201c;rurality&#x0201d; for purposes of health-care planning: an empirical measure for Ontario. Ont Med Rev. <year>2000</year>;67:33&#x02013;52.</mixed-citation></ref><ref id="R17"><label>17. </label><mixed-citation publication-type="webpage">The Johns Hopkins ACG&#x000ae; System [cited 2018 Jul 2]. <ext-link ext-link-type="uri" xlink:href="https://www.hopkinsacg.org">https://www.hopkinsacg.org</ext-link></mixed-citation></ref><ref id="R18"><label>18. </label><mixed-citation publication-type="journal"><string-name><surname>Austin</surname>
<given-names>PC</given-names></string-name>. <article-title>Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies.</article-title>
<source>Pharm Stat</source>. <year>2011</year>;<volume>10</volume>:<fpage>150</fpage>&#x02013;<lpage>61</lpage>. <pub-id pub-id-type="doi">10.1002/pst.433</pub-id><pub-id pub-id-type="pmid">20925139</pub-id></mixed-citation></ref><ref id="R19"><label>19. </label><mixed-citation publication-type="webpage"><collab>Statistics Canada</collab>. Consumer price index, annual average, not seasonally adjusted [cited 2020 Jan 2]. <ext-link ext-link-type="uri" xlink:href="https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=1810000501">https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=1810000501</ext-link></mixed-citation></ref><ref id="R20"><label>20. </label><mixed-citation publication-type="webpage"><collab>Bank of Canada</collab>. Annual exchange rates [cited 2020 Jan 2]. <ext-link ext-link-type="uri" xlink:href="https://www.bankofcanada.ca/rates/exchange/annual-average-exchange-rates">https://www.bankofcanada.ca/rates/exchange/annual-average-exchange-rates</ext-link></mixed-citation></ref><ref id="R21"><label>21. </label><mixed-citation publication-type="journal"><string-name><surname>Kim</surname>
<given-names>HJ</given-names></string-name>, <string-name><surname>Fay</surname>
<given-names>MP</given-names></string-name>, <string-name><surname>Feuer</surname>
<given-names>EJ</given-names></string-name>, <string-name><surname>Midthune</surname>
<given-names>DN</given-names></string-name>. <article-title>Permutation tests for joinpoint regression with applications to cancer rates.</article-title>
<source>Stat Med</source>. <year>2000</year>;<volume>19</volume>:<fpage>335</fpage>&#x02013;<lpage>51</lpage>. <pub-id pub-id-type="doi">10.1002/(SICI)1097-0258(20000215)19:3&#x0003c;335::AID-SIM336&#x0003e;3.0.CO;2-Z</pub-id><pub-id pub-id-type="pmid">10649300</pub-id></mixed-citation></ref><ref id="R22"><label>22. </label><mixed-citation publication-type="journal"><string-name><surname>Austin</surname>
<given-names>PC</given-names></string-name>, <string-name><surname>Small</surname>
<given-names>DS</given-names></string-name>. <article-title>The use of bootstrapping when using propensity-score matching without replacement: a simulation study.</article-title>
<source>Stat Med</source>. <year>2014</year>;<volume>33</volume>:<fpage>4306</fpage>&#x02013;<lpage>19</lpage>. <pub-id pub-id-type="doi">10.1002/sim.6276</pub-id><pub-id pub-id-type="pmid">25087884</pub-id></mixed-citation></ref><ref id="R23"><label>23. </label><mixed-citation publication-type="journal"><string-name><surname>Andr&#x000e9;jak</surname>
<given-names>C</given-names></string-name>, <string-name><surname>Thomsen</surname>
<given-names>V&#x000d8;</given-names></string-name>, <string-name><surname>Johansen</surname>
<given-names>IS</given-names></string-name>, <string-name><surname>Riis</surname>
<given-names>A</given-names></string-name>, <string-name><surname>Benfield</surname>
<given-names>TL</given-names></string-name>, <string-name><surname>Duhaut</surname>
<given-names>P</given-names></string-name>, <etal>et al.</etal>
<article-title>Nontuberculous pulmonary mycobacteriosis in Denmark: incidence and prognostic factors.</article-title>
<source>Am J Respir Crit Care Med</source>. <year>2010</year>;<volume>181</volume>:<fpage>514</fpage>&#x02013;<lpage>21</lpage>. <pub-id pub-id-type="doi">10.1164/rccm.200905-0778OC</pub-id><pub-id pub-id-type="pmid">20007929</pub-id></mixed-citation></ref><ref id="R24"><label>24. </label><mixed-citation publication-type="journal"><string-name><surname>Prevots</surname>
<given-names>DR</given-names></string-name>, <string-name><surname>Shaw</surname>
<given-names>PA</given-names></string-name>, <string-name><surname>Strickland</surname>
<given-names>D</given-names></string-name>, <string-name><surname>Jackson</surname>
<given-names>LA</given-names></string-name>, <string-name><surname>Raebel</surname>
<given-names>MA</given-names></string-name>, <string-name><surname>Blosky</surname>
<given-names>MA</given-names></string-name>, <etal>et al.</etal>
<article-title>Nontuberculous mycobacterial lung disease prevalence at four integrated health care delivery systems.</article-title>
<source>Am J Respir Crit Care Med</source>. <year>2010</year>;<volume>182</volume>:<fpage>970</fpage>&#x02013;<lpage>6</lpage>. <pub-id pub-id-type="doi">10.1164/rccm.201002-0310OC</pub-id><pub-id pub-id-type="pmid">20538958</pub-id></mixed-citation></ref><ref id="R25"><label>25. </label><mixed-citation publication-type="journal"><string-name><surname>Winthrop</surname>
<given-names>KL</given-names></string-name>, <string-name><surname>Baxter</surname>
<given-names>R</given-names></string-name>, <string-name><surname>Liu</surname>
<given-names>L</given-names></string-name>, <string-name><surname>McFarland</surname>
<given-names>B</given-names></string-name>, <string-name><surname>Austin</surname>
<given-names>D</given-names></string-name>, <string-name><surname>Varley</surname>
<given-names>C</given-names></string-name>, <etal>et al.</etal>
<article-title>The reliability of diagnostic coding and laboratory data to identify tuberculosis and nontuberculous mycobacterial disease among rheumatoid arthritis patients using anti-tumor necrosis factor therapy.</article-title>
<source>Pharmacoepidemiol Drug Saf</source>. <year>2011</year>;<volume>20</volume>:<fpage>229</fpage>&#x02013;<lpage>35</lpage>. <pub-id pub-id-type="doi">10.1002/pds.2049</pub-id><pub-id pub-id-type="pmid">21351303</pub-id></mixed-citation></ref><ref id="R26"><label>26. </label><mixed-citation publication-type="journal"><string-name><surname>Marras</surname>
<given-names>TK</given-names></string-name>, <string-name><surname>Mehta</surname>
<given-names>M</given-names></string-name>, <string-name><surname>Chedore</surname>
<given-names>P</given-names></string-name>, <string-name><surname>May</surname>
<given-names>K</given-names></string-name>, <string-name><surname>Al Houqani</surname>
<given-names>M</given-names></string-name>, <string-name><surname>Jamieson</surname>
<given-names>F</given-names></string-name>. <article-title>Nontuberculous mycobacterial lung infections in Ontario, Canada: clinical and microbiological characteristics.</article-title>
<source>Hai</source>. <year>2010</year>;<volume>188</volume>:<fpage>289</fpage>&#x02013;<lpage>99</lpage>. <pub-id pub-id-type="doi">10.1007/s00408-010-9241-8</pub-id><pub-id pub-id-type="pmid">20383715</pub-id></mixed-citation></ref><ref id="R27"><label>27. </label><mixed-citation publication-type="webpage"><collab>Statistics Canada</collab>. Census profile, <year>2016</year> census [cited 2020 Jan 7]. <ext-link ext-link-type="uri" xlink:href="https://www12.statcan.gc.ca/census-recensement/2016/dp-pd/prof/details/Page.cfm?Lang=E&#x00026;Geo1=PR&#x00026;Code1=35&#x00026;Geo2=&#x00026;Code2=&#x00026;Data=Count&#x00026;SearchText=Ontario&#x00026;Sear">https://www12.statcan.gc.ca/census-recensement/2016/dp-pd/prof/details/Page.cfm?Lang=E&#x00026;Geo1=PR&#x00026;Code1=35&#x00026;Geo2=&#x00026;Code2=&#x00026;Data=Count&#x00026;SearchText=Ontario&#x00026;Sear</ext-link></mixed-citation></ref><ref id="R28"><label>28. </label><mixed-citation publication-type="journal"><string-name><surname>Al Houqani</surname>
<given-names>M</given-names></string-name>, <string-name><surname>Jamieson</surname>
<given-names>F</given-names></string-name>, <string-name><surname>Chedore</surname>
<given-names>P</given-names></string-name>, <string-name><surname>Mehta</surname>
<given-names>M</given-names></string-name>, <string-name><surname>May</surname>
<given-names>K</given-names></string-name>, <string-name><surname>Marras</surname>
<given-names>TK</given-names></string-name>. <article-title>Isolation prevalence of pulmonary nontuberculous mycobacteria in Ontario in 2007.</article-title>
<source>Can Respir J</source>. <year>2011</year>;<volume>18</volume>:<fpage>19</fpage>&#x02013;<lpage>24</lpage>. <pub-id pub-id-type="doi">10.1155/2011/865831</pub-id><pub-id pub-id-type="pmid">21369546</pub-id></mixed-citation></ref><ref id="R29"><label>29. </label><mixed-citation publication-type="journal"><string-name><surname>Ballarino</surname>
<given-names>GJ</given-names></string-name>, <string-name><surname>Olivier</surname>
<given-names>KN</given-names></string-name>, <string-name><surname>Claypool</surname>
<given-names>RJ</given-names></string-name>, <string-name><surname>Holland</surname>
<given-names>SM</given-names></string-name>, <string-name><surname>Prevots</surname>
<given-names>DR</given-names></string-name>. <article-title>Pulmonary nontuberculous mycobacterial infections: antibiotic treatment and associated costs.</article-title>
<source>Respir Med</source>. <year>2009</year>;<volume>103</volume>:<fpage>1448</fpage>&#x02013;<lpage>55</lpage>. <pub-id pub-id-type="doi">10.1016/j.rmed.2009.04.026</pub-id><pub-id pub-id-type="pmid">19467851</pub-id></mixed-citation></ref><ref id="R30"><label>30. </label><mixed-citation publication-type="journal"><string-name><surname>Strollo</surname>
<given-names>SE</given-names></string-name>, <string-name><surname>Adjemian</surname>
<given-names>J</given-names></string-name>, <string-name><surname>Adjemian</surname>
<given-names>MK</given-names></string-name>, <string-name><surname>Prevots</surname>
<given-names>DR</given-names></string-name>. <article-title>The burden of pulmonary nontuberculous mycobacterial disease in the United States.</article-title>
<source>Ann Am Thorac Soc</source>. <year>2015</year>;<volume>12</volume>:<fpage>1458</fpage>&#x02013;<lpage>64</lpage>. <pub-id pub-id-type="doi">10.1513/AnnalsATS.201503-173OC</pub-id><pub-id pub-id-type="pmid">26214350</pub-id></mixed-citation></ref><ref id="R31"><label>31. </label><mixed-citation publication-type="journal"><string-name><surname>Goring</surname>
<given-names>SM</given-names></string-name>, <string-name><surname>Wilson</surname>
<given-names>JB</given-names></string-name>, <string-name><surname>Risebrough</surname>
<given-names>NR</given-names></string-name>, <string-name><surname>Gallagher</surname>
<given-names>J</given-names></string-name>, <string-name><surname>Carroll</surname>
<given-names>S</given-names></string-name>, <string-name><surname>Heap</surname>
<given-names>KJ</given-names></string-name>, <etal>et al.</etal>
<article-title>The cost of <italic>Mycobacterium avium</italic> complex lung disease in Canada, France, Germany, and the United Kingdom: a nationally representative observational study.</article-title>
<source>BMC Health Serv Res</source>. <year>2018</year>;<volume>18</volume>:<fpage>700</fpage>. <pub-id pub-id-type="doi">10.1186/s12913-018-3489-8</pub-id><pub-id pub-id-type="pmid">30200944</pub-id></mixed-citation></ref><ref id="R32"><label>32. </label><mixed-citation publication-type="journal"><string-name><surname>Marras</surname>
<given-names>TK</given-names></string-name>, <string-name><surname>Mirsaeidi</surname>
<given-names>M</given-names></string-name>, <string-name><surname>Chou</surname>
<given-names>E</given-names></string-name>, <string-name><surname>Eagle</surname>
<given-names>G</given-names></string-name>, <string-name><surname>Zhang</surname>
<given-names>R</given-names></string-name>, <string-name><surname>Leuchars</surname>
<given-names>M</given-names></string-name>, <etal>et al.</etal>
<article-title>Health care utilization and expenditures following diagnosis of nontuberculous mycobacterial lung disease in the United States.</article-title>
<source>J Manag Care Spec Pharm</source>. <year>2018</year>;<volume>24</volume>:<fpage>964</fpage>&#x02013;<lpage>74</lpage>. <pub-id pub-id-type="doi">10.18553/jmcp.2018.18122</pub-id><pub-id pub-id-type="pmid">30028225</pub-id></mixed-citation></ref><ref id="R33"><label>33. </label><mixed-citation publication-type="journal"><string-name><surname>Diel</surname>
<given-names>R</given-names></string-name>, <string-name><surname>Jacob</surname>
<given-names>J</given-names></string-name>, <string-name><surname>Lampenius</surname>
<given-names>N</given-names></string-name>, <string-name><surname>Loebinger</surname>
<given-names>M</given-names></string-name>, <string-name><surname>Nienhaus</surname>
<given-names>A</given-names></string-name>, <string-name><surname>Rabe</surname>
<given-names>KF</given-names></string-name>, <etal>et al.</etal>
<article-title>Burden of non-tuberculous mycobacterial pulmonary disease in Germany.</article-title>
<source>Eur Respir J</source>. <year>2017</year>;<volume>49</volume>:<elocation-id>1602109</elocation-id>. <pub-id pub-id-type="doi">10.1183/13993003.02109-2016</pub-id><pub-id pub-id-type="pmid">28446559</pub-id></mixed-citation></ref></ref-list></back></article>